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Fully remote AI/ML engineer joining EWOR's new B2B department: lead 0-to-1 initiatives, architect scalable AI/ML systems, and drive prototypes to production with full end-to-end ownership in a startup-studio-style environment. Requires being based in Europe or the Americas and fluent English.
EWOR is launching cutting-edge new initiatives, and we are looking for exceptional operators and builders to join our new department. We are backed and led by serial entrepreneurs, including Paul Müller (founder of…
Experienced ML/MLOps engineer to migrate a major client's existing Data Science projects to an MLOps platform on Google Cloud Platform: testing, productionizing, integrating tools, and monitoring ML workflows. Core stack includes GitLab CI/CD, Docker, Vertex AI, BigQuery, Cloud Run, Airflow, and Python/R.
Johnson & Johnson is hiring a Staff AI/ML Software Engineer in Boston to work on navigation technology within its healthcare/MedTech organization. The role centers on building AI/ML-driven software; the posting excerpt does not specify a tech stack or detailed duties.
Lead 0-to-1 B2B initiatives at EWOR's new department, translating strategic vision into roadmaps and architecting scalable AI/ML solutions from prototype to production. Fully remote role with direct reporting to the department founder and equity upside.
Machine learning engineer on Lockheed Martin's Applied AI team within the Artificial Intelligence Center, developing AI/ML, data science, and signal processing solutions for radar systems. This is an onsite role based in Moorestown, New Jersey.
Trinnex is hiring a Senior AI/ML QA Engineer to lead validation, testing, and monitoring of production AI/ML models, ensuring they are accurate, explainable, and compliant while collaborating with Data Science, MLOps, Consulting, and Governance teams. Core stack: Python, SQL, Git, ML frameworks, Docker/Kubernetes, and GCP.
Machine Learning Engineer on Lyft's Safety and Customer Care team in Toronto, fine-tuning open-source LLMs (SFT, LoRA, RLHF/RLAIF/RLVR) and building LangGraph-based AI agents that handle rider/driver support and safety cases, including evaluation frameworks and production deployment at scale.
Leads validation, testing, and monitoring of production AI/ML models for Trinnex's smart water-management products: building automated test frameworks, tracking drift, assessing explainability, and writing validation reports. Stack includes Python, SQL, Git, geospatial tools, MLflow/pytest-style frameworks, and Docker/Kubernetes on GCP.
A lead role at RBC's Global Payments Technology team in Toronto, building and deploying LLM-powered AI agents for payment processing and automation. Day to day involves architecting AI systems, setting up MLOps pipelines and AI SDLC practices, and mentoring engineers using Python, TensorFlow/PyTorch, LangChain/LangGraph, cloud platforms, Docker and Kubernetes.
Designs, develops, and deploys computer vision and deep learning algorithms for real-time underwater perception in aquaculture — detection, tracking, segmentation, and 3D reconstruction — optimizing models for edge hardware (Jetson/GPU) with Python, C++, PyTorch, and TensorRT while collaborating with software, hardware, and marine science teams.
Bee Genius is hiring an AI/Machine Learning Engineer in Sunnyvale, CA to design, train, and optimize machine learning models that solve complex business problems and integrate them into production systems. Core technologies include Python/R, TensorFlow/PyTorch, deep learning, and statistical analysis.
Designs, develops, and tunes machine learning models in Python (scikit-learn, TensorFlow, PyTorch), managing training data in MongoDB and building data pipelines, evaluation, and documentation workflows — a fully remote ML engineering role filled via partner Micro1.
Staff ML Engineer at Thorn (a nonprofit fighting child sexual exploitation) designs, builds, deploys, and maintains machine learning models and pipelines to identify victims, detect/remove abusive content, and prevent online abuse. Core stack includes Python, PyTorch/TensorFlow, AWS, Kubernetes, and computer vision/NLP systems in a remote US-based team.
Senior ML engineer joining a deliberately small frontier AI team inside a major global travel business in Brisbane, building production agentic/multi-agent systems — orchestration, MCP, retrieval, ranking and evaluation — and taking prototypes to live traffic. Requires 5+ years shipping production ML/AI, strong Python and full Australian working rights.
Senior Machine Learning Engineer at Zscaler in Bangalore builds and deploys Agentic AI systems for cybersecurity, focusing on LLM orchestration, RAG, and production-grade LLMOps.
Builds the engineering core of Bereke Bank's internal AI-agent platform: the agent execution runtime in Python, RAG pipelines over corporate knowledge, tool connectors, and LLM evaluation/observability. Core stack: Python (AsyncIO/FastAPI), LangGraph/LangChain/LlamaIndex, Qdrant, Docker, CI/CD, Langfuse.
Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400…
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